HairDeck: Animation-Ready Stylized Hair Cards from a Single Image
READ THE ORIGINAL SOURCEOpen original sourcehuggingface.co · Opens in a new tabHairDeck generates stylized hair cards and spring-bone chains from a single image. Instead of decoding hairstyles autoregressively as control-point sequences, it treats each card as one token and uses a set diffusion transformer to denoise all cards together. The output is an animatable asset exportable to downstream formats. On CHARM's test set, the authors report a 44% lower Chamfer distance, more than halved card-orientation error, and 33 times faster runtime, and they report outperforming CHARM, image-to-3D pipelines and strand-based methods on single images.
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- Primary sourceHugging Face Daily Papers
- Discovery linkHugging Face
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HairDeck generates stylized hair cards and spring-bone chains from a single image. Instead of decoding hairstyles autoregressively as control-point sequences, it treats each card as one token and uses a set diffusion transformer to denoise all cards together. The output is an animatable asset exportable to downstream formats. On CHARM's test set, the authors report a 44% lower Chamfer distance, more than halved card-orientation error, and 33 times faster runtime, and they report outperforming CHARM, image-to-3D pipelines and strand-based methods on single images.
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Source claims not independently checked; reported gains are from the authors' own evaluations on CHARM's test set.
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Key findings from the stored brief
- Each hair card is represented as a single token, and a set diffusion transformer denoises all cards together.
- The method generates both the hair cards and the spring-bone chains that drive their animation from one image.
- On CHARM's test set, Chamfer distance drops 44% and card-orientation error falls by more than half.
- The reported runtime is 33 times faster than CHARM.
Source claims not independently checked; reported gains are from the authors' own evaluations on CHARM's test set.
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Evidence & sources
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Why this may matter
Stylized hair cards are the standard asset format for game and avatar characters, so a faster single-image generator that outputs animation-ready rigs could reduce manual artist work in that pipeline.
Limits and open questions
Source claims not independently checked; reported gains are from the authors' own evaluations on CHARM's test set.
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